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Background: Type 2 inflammation is the principal determinant of asthma in children, and it leads to the downstream activation of eosinophils (EOS), the production of immunoglobulin-E (IgE), and increased levels of fraction of exhaled nitric oxide (FeNO). Dupilumab received the approval for the treatment of uncontrolled severe Type 2 asthma in children. Objective: The aim of this analysis was to calculate the Type 2 severe asthma paediatric population who would be eligible for treatment with dupilumab in Italy and characterize them by expected biomarker status. Methods: The calculation of the dupilumab-eligible population employed a two-phase approach: 1) estimating the total number of children aged 6–11 years with uncontrolled severe asthma; and 2) stratifying the severe uncontrolled asthma population, based on appropriate biomarker levels, thus identifying patients eligible for treatment with dupilumab. The VOYAGE study provided the data for this analysis. Results: The two-phase approach utilizing VOYAGE data revealed that the average number of paediatric patients with uncontrolled severe asthma was N = 1007. Stratification of these patients, as per VOYAGE data, indicated that the majority (N = 740; 73.5%) would have ≥2 elevated biomarkers, and over one-third patients (N = 434, 43.1%) would exhibit simultaneously elevated levels of EOS, FeNO and IgE. Of the paediatric patients, N = 864 were identified as eligible to dupilumab treatment, constituting 85.8% of the target population. Notably, nearly half eligible patients (N = 454) displayed elevated levels of both EOS and FeNO biomarkers, while the substantial majority (81.1%) exhibited at least an increase of EOS levels (N = 817). Patients with increased FeNO levels without a concurrent increase in EOS were less frequent (N = 47; 5.4% of the eligible population). Conclusion: The simultaneous testing of multiple biomarkers during baseline patient assessment and disease follow-up is highly recommended. Utilizing cost-effective tests, physicians can estimate the prevalence of severe Type 2 asthma, categorize patients into distinct phenotypes (eosinophilic, allergic, or mixed), and consequently identify and prescribe the most suitable therapeutic interventions. This approach also facilitates the ongoing evaluation and adjustment of the treatment strategies based on individual patient responses.

Abstract Background Asthma is a chronic disease characterized by airway hyperresponsiveness, inflammation and mucus production. In Type 2 asthma, two phenotypic components are often co-expressed (eosinophilic and allergic). Elevated biomarker levels, such as eosinophils (EOS), fraction of exhaled nitric oxide (FeNO) and immunoglobulin E (IgE), are key clinical indicators of Type 2 inflammation. Dupilumab has been recently approved for the treatment of uncontrolled severe Type 2 asthma. Type 2 asthma includes allergic and/or eosinophilic phenotypes. The aim of this analysis was to estimate the dupilumab-eligible population in Italy and characterize it by expected biomarker status. Methods A 4-step approach was carried out to calculate dupilumab-eligible population. The approach consisted in: (1) estimating the total number of asthma patients in Italy (using 2016–2017 Italian-adapted Global Initiative for Asthma -GINA- guidelines); (2) estimating the number of severe asthma patients with poorly controlled or uncontrolled disease (using the findings of two recent administrative claim analyses conducted in Italy); (3) stratifying the severe uncontrolled population by biomarker levels (EOS, FeNO and IgE) according to the outcomes of the QUEST trial (a clinical study assessing the efficacy of dupilumab in patients with uncontrolled moderate-to-severe asthma; NCT02414854); (4) identifying the sub-populations of severe uncontrolled asthma patients characterised by raised blood EOS and/or FeNO level (thus indicated to receive dupilumab). Results According to these estimates, about 3.3 million asthmatic patients live in Italy (6.10% of the population). Of them, almost 20 thousand (N = 19,960) have uncontrolled severe asthma. Dupilumab-eligible patients would be N = 15,988, corresponding to 80.1% of the total uncontrolled severe population. Most of these patients (89.3%; N = 14,271) have at least an increase of EOS level, while slightly more than half (51.9%; N = 8,303) have raised levels of both biomarkers. Increased FeNO levels without increased EOS are observed less frequently (N = 1,717; 10.7% of the eligible population). Conclusions There is a strong rationale for testing all asthma biomarkers during diagnosis and disease follow-up. Given the large availability and the limited costs, these tests are cost-effective tools to detect severe Type 2 asthma, stratify patients by phenotype, and drive appropriate treatment decisions.